{"id":"W2980166901","doi":"10.3389/fneur.2019.01051","title":"Very Early MoCA Can Predict Functional Dependence at 3 Months After Stroke: A Longitudinal, Cohort Study","year":2019,"lang":"en","type":"article","venue":"Frontiers in Neurology","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Västra Götalandsregionen","keywords":"Montreal Cognitive Assessment; Stroke (engine); Quartile; Receiver operating characteristic; Medicine; Physical therapy; Cohort; Modified Rankin Scale; Logistic regression; Activities of daily living; Cohort study; Cognition; Area under the curve; Internal medicine; Physical medicine and rehabilitation; Cognitive impairment; Ischemic stroke; Confidence interval; Psychiatry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003547473,0.0001963081,0.0004016137,0.000336755,0.00005195813,0.00001809359,0.0001382119,0.000125587,0.001002824],"category_scores_gemma":[0.00006213113,0.000182821,0.00008595907,0.0002034543,0.0001299177,0.0001036058,0.0002021329,0.0005225684,0.0001453734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001135001,"about_ca_system_score_gemma":0.0001255672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001684341,"about_ca_topic_score_gemma":0.0002178755,"domain_scores_codex":[0.997616,0.0002103186,0.0002718144,0.0006828864,0.0006613371,0.0005576272],"domain_scores_gemma":[0.999243,0.00005771532,0.00005251812,0.0003820756,0.0001017643,0.0001629005],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005848333,0.0005509442,0.985975,0.00002136635,0.0002227248,0.001184552,0.00009437771,0.00001095568,0.0001020339,0.000001352044,0.005674358,0.0003140239],"study_design_scores_gemma":[0.003491499,0.004509472,0.9905323,0.000008489603,0.0001138592,0.00007507703,0.00008433148,0.0002579714,0.00005794549,0.00002734537,0.0007194002,0.0001222761],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937207,0.0001984698,0.0001482463,0.0005329532,0.001309237,0.001955359,0.00002087245,0.00003900037,0.002075184],"genre_scores_gemma":[0.9915122,0.00003769216,0.00004626401,0.000733992,0.00009088714,0.0003877531,0.00002078427,0.00002595624,0.007144469],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005069285,"threshold_uncertainty_score":0.9999104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008657424407807198,"score_gpt":0.2434678355548536,"score_spread":0.2348104111470464,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}